Kubernetes port forwarding for local development with automatic /etc/hosts entries.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-txn2-kubefwd": {
"command": "<see-readme>",
"args": []
}
}
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Kubernetes port forwarding for local development with automatic /etc/hosts entries.
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Documentation | Getting Started | User Guide | API Reference | MCP (AI Integration)
kubefwd enables developers to work on their local machine while seamlessly accessing services running in a Kubernetes cluster. If you're building a new API that needs to connect to a database at db:5432, an auth service at auth:443, and a cache at redis:6379, all running in your development cluster, kubefwd makes them available locally by their service names, exactly as they would appear in-cluster. No environment-specific configuration, no local service setup, no Docker Compose files. Just run kubefwd and your application's existing connection strings work.
This is the essential use case: reduce or eliminate environment-specific connection setup and configurations during local development. Your code uses http://api-gateway:8080 in production? It works the same way on your laptop with kubefwd.
Bulk Kubernetes port forwarding with an interactive TUI, unique IPs per service, and automatic reconnection.
kubefwd is a command-line utility that bulk port forwards Kubernetes services to your local workstation. Each service gets its own unique loopback IP (127.x.x.x), eliminating port conflicts and enabling realistic local development with cluster services accessible by name.

# Install (macOS)
brew install kubefwd
# Forward all services in a namespace with the interactive TUI
sudo -E kubefwd svc -n my-namespace --tui
Press ? for help, q to quit. See Getting Started for detailed installation and setup.
kubefwd discovers services in your namespace, assigns each a unique loopback IP, updates /etc/hosts with service names, and establishes port forwards through the Kubernetes API. Access services by name just like in-cluster:
curl http://api-service:8080
mysql -h database -P 3306
redis-cli -h cache -p 6379